From Intern to Data Science Specialist: Shyama's Inspiring Journey

Table of Contents

1. Introduction
2. Background and Education
3. Internship at Findability Sciences
4. Interview Experience at Yulu
   • HR Round
   • Exploratory Interview
   • Technical Interview
   • Coding and Business Problem Questions
   • Data Science and Analytical Thinking
   • Final Formalities
5. Learning Journey and Strategy
6. Recommendations for Students Pursuing a Bachelor's Degree
7. Conclusion
8. Highlights
9. FAQ

🏆 Highlights:

• Sharma's unique career transition from a three-year bachelor's degree to a career in data science.
• The interview process at Yulu, a fast-growing startup in the mobility and electric bike industry.
• Sharma's internship experience at Findability Sciences and its impact on her full-time job offer at Yulu.
• Sharma's learning strategy and the importance of a strong foundation in computer science, mathematics, and statistics.
• Recommendations for undergraduate students pursuing a degree in data science or related fields.

📖 Article:

Introduction

In this article, we will delve into the fascinating career journey of Sharma Kurian, a student who successfully transitioned from a three-year bachelor's degree to a promising career in data science. We will explore her internship experience at Findability Sciences and her interview process at Yulu, an innovative startup in the intersection of mobility and electric bikes. Additionally, Sharma will share her insights on learning strategies and provide valuable recommendations for undergraduate students pursuing a bachelor's degree in data science or related fields.

Background and Education

Sharma's educational background played a significant role in shaping her career in data science. Having completed a triple major in computer science, mathematics, and statistics from Christ University in Bangalore, she possessed a strong foundation in the core disciplines of data science. This diverse background proved advantageous in her journey towards becoming a data science specialist.

Internship at Findability Sciences

To gain practical experience in the field of data science, Sharma secured an internship at Findability Sciences. This opportunity allowed her to work on reinforcement learning-related problems, which expanded her knowledge and skills in this key area of data science. Through her internship, Sharma was able to apply theoretical concepts to real-world scenarios, further enhancing her understanding of data science.

Interview Experience at Yulu

Sharma's interview process at Yulu consisted of multiple rounds, each focusing on different aspects of her skills and expertise. The process began with an HR round, where she discussed her background and internship experience. Subsequently, she faced an exploratory interview that involved technical and Scenario-based questions. The technical questions primarily centered around SQL and Python, while the scenario-based questions delved into understanding how machine learning algorithms could be applied to real-world problems. As Sharma progressed through the rounds, the technical questions became progressively more challenging, emphasizing SQL, Python, business problems, statistical metrics, and data science concepts such as p-value and confusion matrix.

Learning Journey and Strategy

Sharma's learning strategy revolved around mastering the basics and building a strong understanding of the fundamental concepts taught during her bachelor's degree. Her background in computer science, mathematics, and statistics provided her with the necessary tools to tackle various aspects of data science. Sharma believes that consistency along with a genuine passion for learning are key attributes that contribute to success in data science. She encourages students to develop a strong foundation and pursue areas of interest within the field.

Recommendations for Students Pursuing a Bachelor's Degree

Based on her experiences, Sharma provides valuable recommendations for students pursuing a bachelor's degree in data science or related fields. She emphasizes the importance of gaining a thorough understanding of the basics and recommends consistent effort and a drive to learn as essential qualities for success. Sharma's journey highlights the fact that a combination of computing, mathematics, and statistics can be tremendously advantageous in the field of data science.

Conclusion

Sharma's unique career transition from a three-year bachelor's degree to a data science specialist is an inspiring testament to the possibilities within the field. Her internship experience at Findability Sciences and her interview process at Yulu showcase the opportunities available for aspiring data scientists. By focusing on the learning journey, strategies, and recommendations for undergraduate students, Sharma provides valuable insights for those seeking a rewarding career in data science.

FAQ

Q: How did Sharma's internship at Findability Sciences contribute to her full-time job at Yulu?\ A: Sharma's internship at Findability Sciences provided her with practical experience and showcased her capabilities as a data scientist. This experience played a crucial role in securing her full-time job at Yulu.

Q: What was the interview process like at Yulu?\ A: The interview process at Yulu consisted of multiple rounds, including an HR round, an exploratory interview, technical interviews, and coding and analytical thinking rounds. Each round tested various skills and knowledge Relevant to data science.

Q: What recommendations does Sharma have for students pursuing a bachelor's degree in data science?\ A: Sharma emphasizes the importance of mastering the basics, consistently putting in effort, and having a genuine drive to learn. She suggests developing a strong foundation and a keen interest in the field of data science.

Q: How did Sharma's background in computer science, mathematics, and statistics contribute to her success in data science?\ A: Sharma's diverse educational background provided her with a solid foundation in the core disciplines of data science. This combination of skills significantly aided her career transition and allowed her to excel in the field.